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The spatial transformation network proposed in this paper is applied to the last layer's feature maps, but it is applied to the input image in the code provided, and I used the fer2013 dataset to tr…
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Hi!
I am a rookie in this area,I saw your comment under 'GPS-denied-uav-localization' post and I sincerely want to ask you, if I want to use this program to run my own uav images, how do I get the mo…
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Per suggestion from @bs, I am adding a summary of experiments performed exploring why our model might not be learning semantic embeddings. The list is not inclusive, but I will do my best to list the …
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I have a 4gb GTX 970, but I want to generate 1k images using NNST so I am thinking how I could do that. My first idea would be to implement checkpointing, but I realized that VGG is narrow at the bott…
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### Why/User Benefit/User Problem
Some sites, e.g., The Guardian, have long titles that abbreviate poorly. For example, "News, sport and opinion from the Guardian's US edition | The Guardian" turns …
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I installed TensorFlow 2.8.0 in my Windows 10 PC with CPU only. No Nvidia/CUDA hardware/software installed at all. I run a simple Python image processing project with CNN and I got bunch of no sense m…
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Sometimes errors while running CNMF occur during parallel processi…
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Hello, I am very interested in your work and would like to ask you a question, compared to the original CNN2, why is your CNN2_v2 designed that way?
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Build a check testing if the same image appears in both train and test datasets.
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"Semantic" search based on machine-learned vector "embeddings" representing terms, queries and documents is becoming a must-have feature for a modern search engine. [SOLR-12890](https://issues.apache.…